Tag: ai
Total: 10 Posts
Posts of Tag: ai
  1. Graph Theory and Graph-Related Algorithm's Theory and Implementation

    Introduction Graphs are a convenient way to store certain types of data. The concept was "stolen" from mathematics and appropriated for the needs of computer science. There are several ways in which we can desc...Learn More
    Algorithmmathsaicomputer sciencetheory
  2. Graphs in Java - A* Algorithm

    Graphs in Java - A* Algorithm Introduction A* is a heuristic path searching graph algorithm. This means that given a weighed graph, it outputs the shortest path between two given nodes. The algorithm is guarant...Learn More
    AlgorithmJavaMachine Learningartificial intelligenceai
  3. Deep Learning in Keras - Data Preprocessing

    Deep Learning in Keras - Data Preprocessing Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in t...Learn More
    PythonMachine Learningdata scienceartificial intelligencekerasai
  4. Deep Learning in Keras - Building a Deep Learning Model

    Deep Learning in Keras - Building a Deep Learning Model Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great a...Learn More
    PythonMachine LearningDeep Learningartificial intelligencekerasai
  5. Simple NLP in Python With TextBlob: Tokenization

    Simple NLP in Python With TextBlob: Tokenization Introduction The amount of textual data on the Internet has significantly increased in the past decades. There's no doubt that the processing of this amount of i...Learn More
    PythonSimpleMachine Learningartificial intelligenceainlptextblobtokenization
  6. Translating Strings in Python with TextBlob

    Translating Strings in Python with TextBlob Introduction Text translation is a difficult computer problem that gets better and easier to solve every year. Big companies like Google are actively working on impro...Learn More
    PythonStringMachine LearningDeep Learningainlp
  7. What's New in Tensorflow 2.0?

    What's New in Tensorflow 2.0? Introduction If you are a Machine Learning Engineer, Data Scientist, or a hobbyist developing Machine Learning Models from time to time just for fun, then it is very likely that yo...Learn More
    PythonMachine Learningtensorflowai
  8. Gradient Descent in Python: Implementation and Theory

    Gradient Descent in Python: Implementation and Theory Introduction This tutorial is an introduction to a simple optimization technique called gradient descent, which has seen major application in state-of-the-a...Learn More
    PythonMachine Learningartificial intelligenceai
  9. Facial Detection in Python with OpenCV

    Facial Detection in Python with OpenCV Introduction Facial detection is a powerful and common use-case of Machine Learning. It can be used to automatize manual tasks such as school attendance and law enforcemen...Learn More
    PythonMachine Learningartificial intelligenceaiopencv
  10. Deep Learning Models in Keras - Exploratory Data Analysis (EDA)

    Deep Learning Models in Keras - Exploratory Data Analysis (EDA) Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With...Learn More
    PythonMachine LearningDeep Learningartificial intelligencekerastensorflowai